Simulation of GEM-CSC Integrated Trigger: Status and Plans US CMS EMU Workshop Vadim Khotilovich, Texas A&M University for GEM DPG group

Outline What is implemented in CMSSW simulation now – Integrated local GE1/1-ME1/b trigger (ILT) with simple ,  and  BX matching in the emulator Plans for GEM-CSC trigger simulation – Integrated local GEM-CSC trigger – GEM-CSCTF trigger path – Use of GEM in HLT Note: the current task list spreadsheet is available in indico is available in indico

Current ILT Implementation Input to ILT – Proto LCTs from ME1/b ALCTs and CLCTs that are matched, but not yet sorted – GEM trigger pad digis (OR of 4-strips) Current ILT algo: – Implemented as a simple method of the TMB emulator in CMSSW – For each proto-LCT it attempts to find GEM pads matching within certain  and  BX and have min|  | within some range  and  are deltas between global  ’s and  ’s of GEM pad and LCT position at key layer – Final result is either: Throwing away ME1/b LCTs with 1.64<|  | that don’t have a matching GEM within specified limits ,  and  BX Don’t throw any stubs away, but store information about  in a CSCCorrelatedDigi‘s data member – currently a float number that is used in further studies

How to use it The custom simulation workflow described in nstructionsCMSSW nstructionsCMSSW – Sven is working on integrating it into the cmsDriver in one of the SLHC cmssw releases, so that production of official samples with GEMs would be possible Currently available samples GeometrySamples GeometrySamples – Note: we have a fairly large (60M) minbias sample for pileup studies with 6 partitions GEM geometry

Integrated Local GEM-CSC Trigger Plans Changes in data formats – What optimal set of additional GEM-related information we need to add to the existing CSC trigger stub data? – I will talk about it in another session today Algorithm development – Factorized models (GEM is integrated at LCT level) – Integrated models (GEM is integrated into CLCT reco) – Integration into CSCTF

ILT Plans: Factorized Models (“Factorized”: GEM is integrated after CLCT was reconstructed)  and  matching tuning, defining a discrete  scale – Closely tied to the new TMB output raw data format definition Using GEM to aid with ghost resolution Tuning of LCT timing using the times of ALCT, CLCT and GEM Redundancy against failure: look into a possibility of using a good GEM coincidence as a substitute for a missing ALCT or CLCT Work out a realistic an detailed GEM-CSC matching algorithm for OTMB firmware – It is very important to implement a realistic electronics test-bed for hands-on experimentation with firmware algorithms

ILT Plans: Integrated Models – Improving CLCT efficiency with GEM (GEM is integrated during CLCT reconstruction) CLCTs are usually the largest contributor to the inefficiency With GEMs, we effectively would have 8 layers instead of 6 – 4-out-of-8 trigger integrated patterns finding should be more efficient then the 4-out-of-6 CSC only Pre-requisite study: enumeration and sorting of remaining sources of ineffciency 1 st simple study: – Lower the 4-out-of-6 CLCT trigger stub requirement to 3-out-of-6 (same as pre-triggers) in the CSC emulator configuration Further studies would require rather serious CLCT emulator code changes – If we want true 4-out-of-8 trigger pattern, we need to be able to build a stub from any combination of 4 CSC+GEM layers – TODO: would need to brainstorm about options for combined patterns and efficient matching

ILT Plans: Integration into CSCTF CSCTF would need to be able to access GEM- related information in ME11 stubs and act on it – Data format for ME11 stubs would be different – Hopefully, there would be no need for ghost resolution combinatorics for GEM-matched stubs – GEM-matched stub would carry GEM-CSC delta-phi information that would be very useful for pt assignment Need to determine realistic options to make use of it

Plans for the GEM-CSCTF Path Need to define the GEM input to CSCTF – Simple case: use perfect GEM superchamber coincidence pads (would need to keep the inefficiency in mind) – More complex: less perfect coincidence trigger pads with possibly some sort of quality value dependent on how close are two pads in phi, eta, or BX Algorithm development and optimization – TODO: Some sort of a baby-steps algorithm would be needed first Would need to think about possible changes in CSCTF raw data formats

Plans for GEM use in HLT While the HLT is under the trigger territory, this is more related to RECO then to anything that we have discussed earlier – Framework for usage of GEMs in muon RECO would be a prerequisite Possible opportunities for profit: – L2: reducing soft muons rate before tracking kicks in – L2.5: Use bending angle with pixel vertices and pixel hits to improve resolution – L3: better redundancy and efficiency using GEM offline tools

Summary The basic simulation implementation of an integrated local GEM-CSC trigger for ME1/1 exists in CMSSW and produces encouraging results Still, there are many areas that need work – to make the simulation more realistic – to fully take advantage of information from GEM detectors

Backup

ILT Plans: Delta phi and eta matching We already did basic studies of  and  matching – Possible improvements could come from incorporation the dependencies of  and/or  on  – Need to define more rigorously the discrete  thresholds scale Possible criteria: scale’s bins occupancies should be close to uniform A parametrization of  threshold dependent on efficiency, pt threshold, and eta could be very helpful to easily build various equal-occupancy scales of various granularity Need to keep in mind the constraints from how much extra information we can keep in raw TMB data format – We would store as much info as possible, but the resources are scarce – That will take some time to converge

ILT Plans: Ghost Resolution Ghost resolution is needed only if a chamber has 2 CLCTs and 2 ALCTs in a single BX and they match into 2 LCTs in different strips and wire-groups GEMs would be very helpful for that – Would be a simple improvement to the algorithm that we currently have Things to study: – Probability to have ghost stubs in a chamber that has LCTs how it depends on luminosity, is it a non-linear dependency? How much GEMs help to decrease it? Does the number of eta partitions matter? – Does ghosting seriously affect efficiency or rates? Select events in high PU + signal sample that don’t have ghosts in a chamber and look at LCT efficiency, compare it to the normal case In high PU rate samples: select events with CSCTF tracks that have stubs in ME1/b chambers that don’t have ghosts and compare the trigger rate to the normal case Does ghost resolution with GEMs help with rates? – For muon-jet physics-like studies could also generate muon gun samples with multiple close muons It would be really nice if we could have an option to disable the CSCTF’s ghost combinatorics for ME1/b

ILT Plans: Tuning of LCT Timing It should be possible to improve stub timing resolution using GEM information BX of LCT is defined by ALCT – Wiregroups have very good time resolution (3-4 ns?) but not perfect Time resolution of time-coincident GEM pads in two layers would provide a very precise BX ID – Single GEM has ~5-7 ns resolution, but two GEM pads coincident in a superchamber would be much more precise To try first: – if we get perfect superchamber-coincidence GEM pads, assign GEM’s time as integrated stub’s BX – How often would it change stub BX? Would it improve rate or efficiency? Next: more complex “voting” algorithm – “Majority” vote with some weights between ALCT, CLCT and GEM

GEM as Redundancy for ME11 Failures Look into possibilities of using GEM pad coincidences as substitutes for missing either ALCT or CLCT stubs to build an LCT – A good quality GEM coincidence pad (2 layers with the same BX and pad#) would provide very precise timing and, likely, good protection against neutron BG The distance between two GEM layers is ~4.5 cm which is at least 2x larger then between CSC layers – less chance of 2- layer coincidence from neutron BG – Keep an eye on the rate For this task it is important to have a mature neutron BG simulation for GEM

ILT Plans: Integrated Models – Improving CLCT efficiency with GEM CLCTs are usually the largest contributor to the inefficiency With GEMs, we effectively would have 8 layers instead of 6 – 4-out-of-8 trigger patterns finding should be more efficient then the 4- out-of-6 Pre-requisite study: enumeration and sorting of remaining sources of ineffciency – Identify the inefficiencies of the different stages in PU+signal sample 1 st simple study: – Lower the 4-out-of-6 CLCT trigger stub requirement to 3-out-of-6 (same as pre-triggers) in the CSC emulator configuration Stubs matched to GEM would effectively have at least 4-out-of-8 layers How much would that improve the CLCT efficiency in high PU? What about the final LCT efficiency? How much would it increase the rate?

ILT Plans: Integrated Models – Improving CLCT efficiency with GEM 2 nd study would require rather serious CLCT emulator code changes – If we want true 4-out-of-8 trigger pattern, we need to be able to build a stub from any combination of 4 CSC+GEM layers – That would require some substantial change for how we do the pattern matching A naïve approach of creating 2-layer CLCTs first and then matching them to GEM would very likely not work: the GEM matching takes time and the FPGA would most likely not able to do it fast enough – TODO: need to brainstorm about creating combined patterns and the efficient matching